Metrics of image quality show that abnormalities—including pathologies—deteriorate more than do normal-appearing areas on brain MRIs reconstructed with deep learning models at acceleration factors of six and up.
Tag: Neuroimaging
Congratulations to Peter Hsu on a successful defense of his doctoral dissertation in biomedical imaging and technology at NYU Grossman School of Medicine.
Imaging researchers at NYU Langone have used deep learning to turn noise against itself in order to improve low-field MRI. They’re after something much bigger than sharper images.
NYU Langone welcomes an MRI research system for conducting in vivo investigations of the brain’s microenvironment with unprecedented sensitivity.
Yongxian Qian, imaging scientist whose interests include multinuclear MRI and quantum computing, talks about how he entered the field, why sodium MRI matters, and what quantum tech can mean for imaging.
Congratulations to Ryn Flaherty on a successful defense of his doctoral dissertation in biomedical imaging and technology at NYU Grossman School of Medicine.
NYU Langone scientists propose MRI sodium separation method with potential to inform research on ion imbalances in neurological conditions.
NYU Langone study finds ultra-low-field MRI and deep learning image processing tools accurate for brain volumetry research, recommends “TomoBrain.”
Congratulations to Hersh Chandarana and Yulin Ge on being named among the 2025 senior fellows of the International Society for Magnetic Resonance in Medicine.
Patryk Filipiak, research scientist who specializes in diffusion MRI and tractography, talks about visualizing neural fibers, imaging the world’s first whole-eye transplant, and striving to see what’s really there.